Manager, Enterprise AI & Research

Manages a team of AI Research scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.

Core Responsibilities

1.  Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.

2. Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities.

3. Manages a team of research scientists responsible for a portfolio of AI research driven enterprise product, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.

4. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

5. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

6. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

7. Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.

8. Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.

9. Participates in special projects and performs other duties as assigned.

Qualifications

• Minimum of five years related work experience in analytical roles. Experience with data wrangling required – Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.

• Master’s degree in a relevant field of study such as Computer Science, Cognitive Science, Mathematics, Statistics, Physics, Electrical & Computer Engineering. 

• At least 3+ years of experience in AI/ML research in industry or academic setting. 

• Experience with machine learning development lifecycle and deep learning methods such as GNN, Knowledge Graph, Transformers, GANs, DQN, VAE, SHAP, Counterfactuals and Adversarial examples etc.  

• Strong software engineering capabilities and hands-on experience with various machine learning and deep learning frameworks including numpy, scikit-learn, keras, PyTorch and Tensorflow 

• A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success 

• Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models 

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests.

For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.